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PwC · 2 weeks ago

Cloud Data & Analytics Implementation Senior Associate (Insurance)

Columbus, OH

Full-time

Hybrid

Mid, Senior Level

$77K/yr - $202K/yr

4+ years exp

PwC is a leading professional services firm, and they are seeking a Cloud Data & Analytics Implementation Senior Associate to help organizations uncover insights and drive business results through data analytics. The role involves assisting clients in defining their data needs and migrating them to a modern cloud data environment using various cloud platforms.

AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting

No H1B

Responsibilities

Use feedback and reflection to develop self awareness, personal strengths and address development areas

Delegate to others to provide stretch opportunities, coaching them to deliver results

Demonstrate critical thinking and the ability to bring order to unstructured problems

Use a broad range of tools and techniques to extract insights from current industry or sector trends

Review your work and that of others for quality, accuracy and relevance

Know how and when to use tools available for a given situation and can explain the reasons for this choice

Seek and embrace opportunities which give exposure to different situations, environments and perspectives

Use straightforward communication, in a structured way, when influencing and connecting with others

Able to read situations and modify behavior to build quality relationships

Uphold the firm's code of ethics and business conduct

Qualification

Cloud platform certificationCloud data architectureData integration patternsBig data engineeringSQLPythonData Warehousing conceptsETL pipeline developmentTeam leadershipCommunication skillsProblem-solving skills

Required

Bachelor Degree

4 year(s) of experience

Preferred

Certification in one of the following cloud platform - AWS/Azure/GCP

Certification in Snowflake

Certification in any ETL/ELT tool

Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP

Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, Snowflake etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform)

Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas)

Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse

Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3

Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos

Programming using Python/Spark

Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse

Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (kubernetes/Docker, etc.)

Understanding of insurance data, underlying KPIs and how they are used

Demonstrating prior P&C/L&A Insurance industry experience